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Development and application of a reactive plume-in-grid model: Evaluation over Greater Paris

机译:反应性羽状网格模型的开发和应用:大巴黎地区的评估

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Emissions from major point sources are badly represented by classical Eulerian models. An overestimation of the horizontal plume dilution, a bad representation of the vertical diffusion as well as an incorrect estimate of the chemical reaction rates are the main limitations of such models in the vicinity of major point sources. The plume-in-grid method is a multiscale modeling technique that couples a local-scale Gaussian puff model with an Eulerian model in order to better represent these emissions. We present the plume-in-grid model developed in the air quality modeling system Polyphemus, with full gaseous chemistry. The model is evaluated on the metropolitan ?le-de-France region, during six months (summer 2001). The subgrid-scale treatment is used for 89 major point sources, a selection based on the emission rates of NO _x and SO_2. Results with and without the subgrid treatment of point emissions are compared, and their performance by comparison to the observations on measurement stations is assessed. A sensitivity study is also carried out, on several local-scale parameters as well as on the vertical diffusion within the urban area. Primary pollutants are shown to be the most impacted by the plume-in-grid treatment. SO_2 is the most impacted pollutant, since the point sources account for an important part of the total SO_2 emissions, whereas NO_x emissions are mostly due to traffic. The spatial impact of the subgrid treatment is localized in the vicinity of the sources, especially for reactive species (NO_x and O_3). Ozone is mostly sensitive to the time step between two puff emissions which influences the in-plume chemical reactions, whereas the almost-passive species SO_2 is more sensitive to the injection time, which determines the duration of the subgrid-scale treatment. Future developments include an extension to handle aerosol chemistry, and an application to the modeling of line sources in order to use the subgrid treatment with road emissions. The latter is expected to lead to more striking results, due to the importance of traffic emissions for the pollutants of interest.
机译:经典欧拉模型很难很好地代表主要点源的排放。在主要点源附近,这种模型的主要局限性是高估了水平羽流稀释度,垂直扩散的不好表示以及化学反应速率的不正确估计。网格羽状方法是一种多尺度建模技术,将局部尺度的高斯吹气模型与欧拉模型耦合在一起,以便更好地表示这些排放。我们介绍了在空气质量建模系统Polyphemus中开发的带有全气态化学成分的网格羽状模型。该模型在六个月内(2001年夏季)在大法兰西大区进行了评估。亚网格规模的处理用于89个主要点源,基于NO _x和SO_2的排放速率进行选择。比较使用和不使用点栅格的子网格处理的结果,并通过与测量站的观测结果进行比较来评估其性能。还对几个局部尺度参数以及城市区域内的垂直扩散进行了敏感性研究。原始污染物显示出受到烟羽网格处理的影响最大。 SO_2是受影响最严重的污染物,因为点源占SO_2排放总量的重要部分,而NO_x排放主要是由于交通。次网格处理的空间影响局限于源附近,特别是对于反应性物种(NO_x和O_3)。臭氧对两次抽吸之间的时间步长最敏感,这会影响在管内化学反应,而几乎被动的SO_2物种对注入时间更敏感,这决定了亚网格规模处理的持续时间。未来的发展包括处理气溶胶化学的扩展,以及在线源建模中的应用,以便将亚网格处理用于道路排放。由于交通排放对于所关注污染物的重要性,预计后者将产生更惊人的结果。

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